ReviewDiagnostics (Basel, Switzerland)2021
Idiosyncratic Drug-Induced Liver Injury (DILI) and Herb-Induced Liver Injury (HILI): Diagnostic Algorithm Based on the Quantitative Roussel Uclaf Causality Assessment Method (RUCAM).
Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Treatment effects and safety of Chinese herbal medicine in gastroesophageal reflux disease: a systematic review of randomized controlled trials and a network meta-analysis with component analysis.Frontiers in pharmacology · 2026Pooled it
- Liver Injury in COVID-19 Patients with Drugs as Causatives: A Systematic Review of 996 DILI Cases Published 2020/2021 Based on RUCAM as Causality Assessment Method.International journal of molecular sciences · 2022Pooled it
- Disulfiram-Induced Hepatotoxicity in a Patient With Alcohol Use Disorder: A Case Report.Clinical case reports · 2026Article
- [Differences in the mechanisms, diagnostic biomarkers, and therapeutic strategies of drug-induced liver injury caused by traditional Chinese and Western medicines].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Review
- Targeting the Gut Microbiota with Herbal Compounds from Traditional Chinese Medicine: A Mechanistic Synthesis of a Novel Therapeutic Approach for Ulcerative Colitis.Journal of inflammation research · 2026Review
- Hepatotoxicity associated with anti-neoplastic agents: a pharmacovigilance analysis of the Food and Drug Administration Adverse Event Reporting System database.Frontiers in immunology · 2025Article
- A novel strategy for identifying hepatotoxic constituents in traditional Chinese medicine using dose-normalized intracellular accumulation as a cytotoxicity indicator: a case study of Jinlingzi San.Frontiers in pharmacology · 2025Article
- Commonly available dietary supplements, herbs and medicines - do they pose a risk for liver health? Literature review in the context of the Polish population.Clinical and experimental hepatology · 2024Review
- Edoxaban-Induced Vanishing Bile Duct Syndrome: A Case Report With Review of the Literature.Cureus · 2024Article
- Immune Checkpoint Inhibitors in Hepatocellular Carcinoma and Their Hepatic-Related Side Effects: A Review.Cancers · 2024Review
- Complementary and alternative medicines and liver disease.Hepatology communications · 2024Review
- Hemochromatosis: Ferroptosis, ROS, Gut Microbiome, and Clinical Challenges with Alcohol as Confounding Variable.International journal of molecular sciences · 2024Review
- Idiosyncratic Drug-Induced Liver Injury in a Healthy Patient following PCSK9-Inhibitor Injection.Case reports in hepatology · 2024Article
- Certolizumab-induced liver injury: as assessed for causality by the updated RUCAM.BMJ case reports · 2023Article
- Metabolomic Analysis of Pediatric Patients with Idiosyncratic Drug-Induced Liver Injury According to the Updated RUCAM.International journal of molecular sciences · 2023Observational
- Advances in Idiosyncratic Drug-Induced Liver Injury Issues: New Clinical and Mechanistic Analysis Due to Roussel Uclaf Causality Assessment Method Use.International journal of molecular sciences · 2023Review
- Molecular Idiosyncratic Toxicology of Drugs in the Human Liver Compared with Animals: Basic Considerations.International journal of molecular sciences · 2023Review
- Treatment of Drug-Induced Liver Injury.Biomedicines · 2022Review
- Urine metabolomics and microbiome analyses reveal the mechanism of anti-tuberculosis drug-induced liver injury, as assessed for causality using the updated RUCAM: A prospective study.Frontiers in immunology · 2022Article
- Xiao-Yao-San protects against anti-tuberculosis drug-induced liver injury by regulating Grsf1 in the mitochondrial oxidative stress pathway.Frontiers in pharmacology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Causality assessment in liver injury induced by drugs and herbs remains a debated issue, requiring innovation and thorough understanding based on detailed information. Artificial intelligence (AI) principles recommend the use of algorithms for solving complex processes and are included in the diagnostic algorithm of Roussel Uclaf Causality Assessment Method (RUCAM) to help assess causality in suspected cases of idiosyncratic drug-induced liver injury (DILI) and herb-induced liver injury (HILI). From 1993 until the middle of 2020, a total of 95,865 DILI and HILI cases were assessed by RUCAM, outperforming by case numbers any other causality assessment method. The success of RUCAM can be traced back to its quantitative features with specific data elements that are individually scored leading to a final causality grading. RUCAM is objective, user friendly, transparent, and liver injury specific, with an updated version that should be used in future DILI and HILI cases. Support of RUCAM was also provided by scientists from China, not affiliated to any network, in the results of a scientometric evaluation of the global knowledge base of DILI. They highlighted the original RUCAM of 1993 and their authors as a publication quoted the greatest number of times and ranked first in the category of the top 10 references related to DILI. In conclusion, for stakeholders involved in DILI and HILI, RUCAM seems to be an effective diagnostic algorithm in line with AI principles.
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